Statistics for Data Science, Business&Research(Data Science)
Learn the fundamentals of probability and statistics, perform statistical tests using Excel, and master topics such as correlation, regression analysis, and hypothesis testing. This practical course is perfect for data scientists, data analysts, and researchers. Gain essential statistics knowledge and receive a certificate of completion. Try it risk-free with a 30-day money-back guarantee. Ideal for those interested in business analytics, business intelligence, and applied statistics.
What you’ll learn
- Understand the fundamentals of probability and statistics
- Understand how to use various statistical distributions
- Calculate correlation and perform Regresion analysis
- Understand and perform Chi Squared Tests
- Understand what a sampling distribution is
- Apply statistical methods and hypothesis testing to business problems
- Apply Hypothesis Testing, T-test, z-test, ANOVA, etc
- Normality Testing. W/S Test for Normality (ATENTION!! no other Data Science Statistics course in Udemy teachs)
- Mann Whitney U test (ATENTION!! no other Data Science Statistics course in Udemy teachs)
- You will learn to use EXCEL in the most simple and easy way to perform Statistical Tests
- The Spearman Rank Correlation Coefficient (NEW!!!)
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DATA SCIENCE
Here you will rapidly get the essential Statistics Knowledge for a Data Scientist, Data Analyst and for doing serious Research. This course is very practical, with exercises and solved problems. You will learn how to perform the Statistical Tests with Excel in the most easy and practical possible way. Excel Spreedsheets for the Tests are included!
The sections are modular and organized by topic. We’ll cover everything you need to know about statistics and probability to clearly solve real world business, data science problems and do serious Research.
At the same time you will master topics such as distributions, the Central Limit Theorem, confidence intervals, statistical significant, Variance and Standard Deviation ,Correlation and Regression Analysis, hypothesis testing,T-Distribution Testing, ANOVA, Chi Squared, U-TEST, Normality Testing and much more!
One of the main differences with other Statistics Data Analysis courses in Udemy, is that in this course you will learn the importance of Testing your data, how to test normality and perform U-test in case your data cannot perform parametric Test like ANOVA, T-test , etc.
Upon concluding the course you’ll receive a certificate of completion that you can post on your linkedin profile and show to your potential employers!
All of this content comes with a 30 day money back guarantee, so you can try out the course with out any risk.
Who this course is for:
- Anybody who wants to master statistics for Business Analytics, Data Science or Research
- Anybody who wants a career in Business Intelligence
- Anybody who wants to learn the fundamentals of Applied Statistics
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